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  1. Article ; Online: Effect of Aggressive Intravenous Fluid Resuscitation Versus Nonaggressive Fluid Resuscitation in the Treatment of Acute Pancreatitis: A Systematic Review and Meta-Analysis.

    Ding, Xiaowen / Chen, Bo

    Pancreas

    2023  Volume 52, Issue 2, Page(s) e89–e100

    Abstract: Objectives: Despite the need for active fluid therapy, fluid management of most acute pancreatitis (AP) cases is still supportive. The aim of this review is to compare the effect of aggressive versus nonaggressive intravenous (IV) fluid resuscitation in ...

    Abstract Objectives: Despite the need for active fluid therapy, fluid management of most acute pancreatitis (AP) cases is still supportive. The aim of this review is to compare the effect of aggressive versus nonaggressive intravenous (IV) fluid resuscitation in the treatment of acute pancreatitis.
    Methods: A systematic search of medical databases, such as Medline, Google Scholar, Science Direct, Cochrane Central, was conducted for publication until April 2022. We included randomized controlled trials or cohort (prospective and retrospective) studies reporting the outcomes of AP in patients that were managed with aggressive and nonaggressive IV fluid resuscitation. The primary outcome of interest was in-hospital mortality.
    Results: Fourteen trials involving 3423 acute pancreatitis patients were included in the review. We did not observe any differences in the risk of mortality, persistent organ failure, and systemic inflammatory response syndrome in both study groups. However, there was an increased risk of development of pancreatic necrosis, renal failure, and respiratory failure in the aggressive fluid therapy group compared with nonaggressive therapy. The funnel plot showed no publication bias.
    Conclusions: Aggressive fluid therapy did not improve mortality rates in acute AP patients and was associated with an increased risk of acute renal failure, and respiratory failure.
    MeSH term(s) Humans ; Pancreatitis/etiology ; Retrospective Studies ; Acute Disease ; Prospective Studies ; Fluid Therapy/adverse effects ; Acute Kidney Injury/etiology ; Respiratory Insufficiency/etiology
    Language English
    Publishing date 2023-05-25
    Publishing country United States
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 632831-3
    ISSN 1536-4828 ; 0885-3177
    ISSN (online) 1536-4828
    ISSN 0885-3177
    DOI 10.1097/MPA.0000000000002230
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  2. Article ; Online: Prediction of heavy metal lead contamination accident in Three Gorges Reservoir Area.

    Liu, Zhen / Sang, Jing / Fenech, Adam / Ding, Xiaowen

    Environmental science and pollution research international

    2024  Volume 31, Issue 20, Page(s) 29979–29991

    Abstract: Water contamination incidents have become a significant ecological and environmental threat, particularly concerning the security of drinking water source areas (DWSAs). This research aimed to address this issue by integrating Geographic Information ... ...

    Abstract Water contamination incidents have become a significant ecological and environmental threat, particularly concerning the security of drinking water source areas (DWSAs). This research aimed to address this issue by integrating Geographic Information System (GIS) into bidimensional hydrodynamic water quality mathematical model developed using C +  + and FORTRAN programming languages. The focus was on the Heshangshan drinking water source area (HDWSA), and the TECPLOT360 software was utilized for visualizing pollutant migration and dispersion processes. The study specifically considered a hypothetical lead (Pb) contamination accident, which is situated in the Three Gorges Reservoir Area (TGRA). The spatio-temporal variations in Pb concentration throughout the entire DWSA were analyzed, along with a comparison of Pb concentration changes during different water seasons. The results indicate that, during the accident, the Pb concentration at the water intake in the drought season, decline season, flood season, and impounding season reached the standard limits at 76, 58, 44, and 48 min, respectively. Moreover, the entire DWSA achieved standard levels of Pb concentration at 124, 89, 71, and 74 min during the respective seasons. The study also observed an expansion and subsequent contraction of the Pb contamination area in the DWSA, with the transfer rate of Pb concentration ranked as flood season > impounding season > decline season > drought season.
    MeSH term(s) Lead/analysis ; Water Pollutants, Chemical/analysis ; Environmental Monitoring ; Metals, Heavy/analysis ; China ; Drinking Water/chemistry ; Water Supply ; Seasons
    Chemical Substances Lead (2P299V784P) ; Water Pollutants, Chemical ; Metals, Heavy ; Drinking Water
    Language English
    Publishing date 2024-04-10
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-024-33242-9
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  3. Article ; Online: The Associations between Exposure to Multiple Heavy Metals and Total Immunoglobulin E in U.S. Adults.

    Song, Xin / Ding, Xiaowen / Niu, Piye / Chen, Tian / Yan, Tenglong

    Toxics

    2024  Volume 12, Issue 2

    Abstract: Immunoglobulin E (IgE) is a type of immunoglobulin, and elevated serum total IgE is often present in allergic diseases. Exposure to environmental heavy metals has been markedly linked to allergic diseases, leading to elevated total IgE levels. However, ... ...

    Abstract Immunoglobulin E (IgE) is a type of immunoglobulin, and elevated serum total IgE is often present in allergic diseases. Exposure to environmental heavy metals has been markedly linked to allergic diseases, leading to elevated total IgE levels. However, studies concerning the effects of multiple metal exposures on total IgE levels are limited. Therefore, the current study seeks to explore the correlation between heavy-metal co-exposure and total IgE levels based on the National Health and Nutrition Examination Survey (NHANES, 2005-2006). Participants possessed complete data on total IgE levels, 11 urinary metal concentrations and other covariates. The correlations between 11 metals and total IgE levels were analyzed using multiple linear regression, and total IgE levels were a continuous variable. Total IgE levels exceeding 150 kU/L were considered sensitized. Binary logistic regression analyses were employed to assess the correlation between metal exposure and the occurrence of an allergic state. Then, the association between co-exposure to the 11 metals and total IgE levels or the occurrence of sensitization status was further analyzed by Bayesian kernel machine regression (BKMR), a multi-contaminant model. There were 1429 adults with complete data included. Based on the median concentration, molybdenum (Mo) had the highest concentration (46.60 μg/L), followed by cesium (Cs), barium (Ba), lead (Pb), and mercury (Hg). And the median (interquartile range) for total IgE levels was 43.7 (17.3, 126.0) kU/L. Multiple linear regression results showed that Pb was significantly and positively associated with total IgE levels (β = 0.165; 95% CI: 0.046, 0.284). Binary logistic regression showed a significant positive correlation between urinary Pb (OR: 1.258; 95% CI: 1.052, 1.510) and tungsten (W) (OR: 1.251; 95% CI: 1.082, 1.447). Importantly, the BKMR model found a positive correlation between combined-metal exposure and total IgE levels and the occurrence of sensitization status. The mixed heavy-metal exposure was associated with increased total IgE levels, and this association may be driven primarily by the exposure of Pb and W. This study provides new insights into the relationship between heavy-metal exposure and allergic diseases. More research is needed to confirm these findings.
    Language English
    Publishing date 2024-01-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2733883-6
    ISSN 2305-6304 ; 2305-6304
    ISSN (online) 2305-6304
    ISSN 2305-6304
    DOI 10.3390/toxics12020116
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  4. Article ; Online: A new assessment method for water environment safety and its application.

    Sang, Jing / Liu, Zhen / Wang, Han / Ding, Xiaowen / Feng, Renfei

    The Science of the total environment

    2024  Volume 917, Page(s) 170056

    Abstract: The Three Gorges Reservoir area is recognized by its vast size, dense population, bustling economic and social activities along its banks, and by the significant volume of waterway traffic. These factors make it with a high risk of water pollution ... ...

    Abstract The Three Gorges Reservoir area is recognized by its vast size, dense population, bustling economic and social activities along its banks, and by the significant volume of waterway traffic. These factors make it with a high risk of water pollution accidents, posing a serious threat to water environmental safety. Therefore, it is imperative to conduct a water environmental safety assessment in this region to ensure the safety of the water environment. In the present work, the Driving-Pressure-State-Impact-Response-Risk Water Environmental Safety model was proposed, and a comprehensive water environmental safety assessment system was established. The Water Environment Safety Index was introduced to measure the degree of water environment safety. This model synthesized multiple factors and their interrelationships, enabling a more accurate assessment of water environment safety. By adopting scientifically rigorous evaluation criteria, this assessment method enhanced the reliability and credibility of the results obtained. The water environment safety in the 22 counties and districts of the Three Gorges Reservoir area of Chongqing region from 2017 to 2021 was assessed in terms of temporal changes and spatial differentiation. In general, the overall water environment safety situation in the Three Gorges Reservoir area of Chongqing region is relatively safe, but a few counties/districts (such as Wanzhou District, Jiangjin District, etc.) are still in Warning. Spatially, the water environmental safety condition was relatively better in the northeast compared to the southwest. The main factors threatening water environment safety include: 1) the consequence of the Three Gorges Project, 2) severe soil erosion, 3) industrial, agricultural, and domestic pollution, and 4) frequent water pollution accidents. The present work provided a new method for conducting water environment safety assessments, which is expected to positively contribute to further research in this field.
    Language English
    Publishing date 2024-01-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2024.170056
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    Zs.A 949: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
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  5. Article ; Online: Prediction of water resources change trend in the Three Gorges Reservoir Area under future climate change

    Sang, Jing / Hou, Baodeng / Wang, Hejia / Ding, Xiaowen

    Journal of Hydrology. 2023 Feb., v. 617 p.128881-

    2023  

    Abstract: In this study, the water intake module and the confluence module were added to the Community Land Model version 4.5 (CLM 4.5), forming the Community Land Model-Dualistic Water Cycle (CLM-DWC) model (land surface hydrological model). It solved the problem ...

    Abstract In this study, the water intake module and the confluence module were added to the Community Land Model version 4.5 (CLM 4.5), forming the Community Land Model-Dualistic Water Cycle (CLM-DWC) model (land surface hydrological model). It solved the problem that the influence of human activities was not considered in the existing hydrological coupling simulation process, which so as to the inaccuracy of the simulation process. The CLM-DWC model was driven by the average results of five Global Climate Models (GCMs) ensemble to form the “atmosphere-land-hydrology” fully coupled model to predict the temporal and spatial variation trends of water resources in the Three Gorges Reservoir Area (TGRA) from 2021 to 2050 under Representative Concentration Pathway (RCP) 2.6, RCP4.5 and RCP8.5. In the future scenarios, in terms of spatial distribution, the runoff, surface water and groundwater all indicated the high at the belly of the reservoir and low at the head and tail of the reservoir, which were in good consistency with the baseline period. In terms of intra-annual distribution and inter-annual variability, runoff depth increases by 20.8 mm at RCP4.5 compared with the baseline period, and it tended to decrease under RCP2.6 and RCP8.5. At the same time, under the three scenarios, the average increase of surface water was 3.44 %, groundwater decreases by an average of 11.72 %. Accurately predicting the change trend of water resources in the TGRA under climate change has great significance for future water resources management and planning in the reservoir area.
    Keywords climate ; climate change ; groundwater ; head ; humans ; hydrologic cycle ; hydrologic models ; prediction ; runoff ; surface water ; Water resources ; The Three Gorges Reservoir Area ; Coupled model
    Language English
    Dates of publication 2023-02
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 1473173-3
    ISSN 1879-2707 ; 0022-1694
    ISSN (online) 1879-2707
    ISSN 0022-1694
    DOI 10.1016/j.jhydrol.2022.128881
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  6. Article ; Online: Long non-coding RNAs in breast cancer stem cells.

    Huang, Yuting / Mo, Wenju / Ding, Xiaowen / Ding, Yuqin

    Medical oncology (Northwood, London, England)

    2023  Volume 40, Issue 6, Page(s) 177

    Abstract: Breast cancer, one of the most commonly diagnosed cancers worldwide, is a heterogeneous disease with high rates of recurrence and metastasis that contribute to its high mortality rate. Breast cancer stem cells (BCSCs) are a small but significant subset ... ...

    Abstract Breast cancer, one of the most commonly diagnosed cancers worldwide, is a heterogeneous disease with high rates of recurrence and metastasis that contribute to its high mortality rate. Breast cancer stem cells (BCSCs) are a small but significant subset of heterogeneous breast cancer cells that possess stem cell characteristics such as self-renewal and differentiation abilities that may drive metastasis and recurrence. Long non-coding RNAs (lncRNAs) are a class of RNAs that are longer than 200 nucleotides in length and do not possess protein-coding properties. An increasing number of studies have shown that some lncRNAs are abnormally expressed in BCSCs, and have great biological significance in the occurrence, progression, invasion, and metastasis of various cancers. However, the importance of lncRNAs, as well as the molecular mechanisms that regulate and promote the stemness of BCSCs, are still poorly understood. In the current review, we aim to summarize recent studies that highlight the role of lncRNAs in tumor occurrence and progression through BCSCs. In addition, the utility of lncRNAs as biomarkers of breast cancer progression, and their potential use as therapeutic targets for treatment of breast cancer, will be discussed.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/genetics ; Breast Neoplasms/pathology ; RNA, Long Noncoding/genetics ; Cell Differentiation ; Neoplastic Stem Cells/pathology ; Cell Self Renewal
    Chemical Substances RNA, Long Noncoding
    Language English
    Publishing date 2023-05-13
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1201189-7
    ISSN 1559-131X ; 0736-0118 ; 1357-0560
    ISSN (online) 1559-131X
    ISSN 0736-0118 ; 1357-0560
    DOI 10.1007/s12032-023-02046-1
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    Zs.A 1899: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  7. Article: Regression Tree Ensemble Rainfall–Runoff Forecasting Model and Its Application to Xiangxi River, China

    Zhai, Aifeng / Fan, Guohua / Ding, Xiaowen / Huang, Guohe

    Water. 2022 Feb. 04, v. 14, no. 3

    2022  

    Abstract: The development of an efficient and accurate hydrological forecasting model is essential for water management and flood control. In this study, the ensemble model was applied to predict the daily discharge; it not only could enhance the algorithm and ... ...

    Abstract The development of an efficient and accurate hydrological forecasting model is essential for water management and flood control. In this study, the ensemble model was applied to predict the daily discharge; it not only could enhance the algorithm and improve the learning accuracy, but it was also the most effective representative model among various combinations of learning parameters. Using the survey data of Xingshan station in Xiangxi River, China, the suitability of the model was proven. The performance of the ensemble model was compared with the multiple linear regression model and the artificial neural network models. Furthermore, the length of the training samples and the peak value predictions were analyzed. The results showed that, firstly, the best effect of the discharge simulation model appeared in the ensemble model, while the simulation accuracy of the multiple linear regression model was lower than that of the artificial neural network model in some cases. Secondly, the prediction effect of the ensemble model for discharge was better than that of the single model to some extent, whereby the maximum absolute value of relative error was 8.11% using the ensemble model. A comprehensive analysis showed that the ensemble model was optimal. Furthermore, the ensemble model performed outstandingly in terms of hydrological forecasting. The ensemble model also provided theoretical support for hydrological forecasting and could be considered as an alternative to multiple linear regression models and artificial neural networks.
    Keywords algorithms ; flood control ; neural networks ; prediction ; regression analysis ; rivers ; runoff ; simulation models ; surveys
    Language English
    Dates of publication 2022-0204
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2521238-2
    ISSN 2073-4441
    ISSN 2073-4441
    DOI 10.3390/w14030463
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  8. Article: Development of Interval Transient Pollution Distribution Model and Its Application in the Fenghuangshan Drinking Water Source

    Zhang, Xinyi / Zhai, Aifeng / Ding, Xiaowen

    Ecological modelling. 2022 May 27,

    2022  

    Abstract: For the purpose of studying the spreading regularity of metal pollution accident and resolving problem of parameters being difficult to obtain in the drinking water source, interval transient pollution distribution model was developed and applied to the ... ...

    Abstract For the purpose of studying the spreading regularity of metal pollution accident and resolving problem of parameters being difficult to obtain in the drinking water source, interval transient pollution distribution model was developed and applied to the Fenghuangshan drinking water source, Three Gorges Reservoir. After parameter calibration and model validation, the mean absolute deviation between the calculated value (data obtained by the model simulation) and the measured value (the real measured data of the Zigui drinking water source area) was less than 7%. Thence, the promoted model can be used in practical accident pollution. Relying on MATLAB 2014a, this research presented the cadmium pollution-spreading pattern in the drinking water source based on the proposed model. Under the premise of different hydrological periods and different initial pollutant quality, this study focused on forecasting and analyzing the spatial distribution of pollution accident within one hour, concentration diffusion of pollution source change with time and concentration diffusion in the drinking water source with time. The results showed that the variation of cadmium concentration was influenced by the distance between the accidental emission source and shore. Specifically, the distance increases, and the appearance of the second pollution peak is subsequently delayed. Moreover, the dilution rate of pollutant was directly proportional to water depth and flow velocity, and the flow velocity has more important influence on the diffusion of pollutants than others do. The purpose of this study is to develop an effective model to forecast and solve the metal pollution accident in drinking water sources under the condition of incomplete or uncertain parameters in order to solve the problem of difficult hydrological data acquisition. The results provide some new insights and references for researchers and decision makers to predict and respond to emergency accident pollution in drinking water sources.
    Keywords accidents ; cadmium ; data collection ; hydrologic data ; model validation ; pollutants ; pollution ; simulation models
    Language English
    Dates of publication 2022-0527
    Publishing place Elsevier B.V.
    Document type Article
    Note Pre-press version
    ZDB-ID 191971-4
    ISSN 0304-3800
    ISSN 0304-3800
    DOI 10.1016/j.ecolmodel.2022.110037
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  9. Article ; Online: Prediction and countermeasures of heavy metal copper pollution accident in the Three Gorges Reservoir Area.

    Liu, Zhen / Sang, Jing / Zhu, Meixuan / Feng, Renfei / Ding, Xiaowen

    Journal of hazardous materials

    2023  Volume 465, Page(s) 133208

    Abstract: In order to mitigate the hazards of water pollution in drinking water source areas (DWSAs), developing applicable models and proposing effective solutions is of paramount significance. The study developed the Heshangshan Drinking Water Source Area (HDWSA) ...

    Abstract In order to mitigate the hazards of water pollution in drinking water source areas (DWSAs), developing applicable models and proposing effective solutions is of paramount significance. The study developed the Heshangshan Drinking Water Source Area (HDWSA) Hydrodynamic Model, integrating Geographic Information System (GIS) into a two-dimensional hydrodynamic water quality model using FORTRAN. TECPLOT360 software (Software Tools for Numerical Simulation with Visualization) visualized contamination transportation and diffusion. The model's relative error is less than 6%, indicating its strong stability and high reliability. The HDWSA in the Three Gorges Reservoir Area (TGRA) was used as a case study, focusing on copper (Cu) as a pollutant. By regulating the flow downstream from the Xiangjiaba Reservoir, Scheduling Group 1 and Scheduling Group 2 respectively increased the flow by 4000 m
    Language English
    Publishing date 2023-12-13
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2023.133208
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  10. Article ; Online: Can carbon emission trading improve carbon emission performance? Evidence from a quasi-natural experiment in China.

    Shi, Wen / Sang, Jing / Zhou, Jincheng / Ding, Xiaowen / Li, Zoe

    Environmental science and pollution research international

    2023  Volume 30, Issue 59, Page(s) 124028–124040

    Abstract: Carbon emission trading policies play a key role in reducing carbon emissions through market-based mechanisms. In the context of China's carbon neutrality goals and carbon peaking targets, it is important to predict and evaluate the effectiveness of such ...

    Abstract Carbon emission trading policies play a key role in reducing carbon emissions through market-based mechanisms. In the context of China's carbon neutrality goals and carbon peaking targets, it is important to predict and evaluate the effectiveness of such policies. The combined impact of carbon trading policies on carbon emission reduction and economic output has not been well investigated in previous studies. In this study, the impact of carbon emission trading policies on regional carbon emission performance was assessed through mechanism analysis and empirical tests. The mechanism analysis showed that carbon emission intensity reduction relied on three mediating effects: technological innovation incentives, industrial structure optimization, and energy substitution. For the empirical test, the multi-time difference-in-differences (DID) method was adopted to study the impact using panel data from 30 provinces in China between 2005 and 2019. Moreover, the specific impact mechanism was further tested using mediating effects. The results showed that China's carbon trading policy has significantly affected the carbon emission performance of the pilot regions, and factors such as GDP per capita, urbanization level, and capital-labor ratio have notably contributed to the reduction of carbon emission intensity. The proportions of the three mediating effects in the total effect were estimated to be 60.98%, 23.17%, and 10.14%, respectively. This study provides an empirical approach to the study of the impact of carbon trading policy on carbon emission reduction and economic output and can serve as a reference for addressing climate change and alleviating conflicts between the environment and economic growth in similar regions.
    MeSH term(s) Carbon/analysis ; China ; Industry ; Economic Development ; Greenhouse Gases/analysis
    Chemical Substances Carbon (7440-44-0) ; Greenhouse Gases
    Language English
    Publishing date 2023-11-23
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-31060-z
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